Figures

Mobility, Latent Trend and Omega for all states

1. Mobility trend for all states (\(\phi\)). Covariate that describes human mobility. These data come from Unacast. We smooth the raw data from Unacast using a spline fit, resulting in the trajectories of human movement shown below. This covariate is used to reduce baseline transmission. Here we show the mobility trends from all 50 states. b) latent trend for all states (\(\psi\)). c) Relativie transmissibility (\(\omega\)) for all states. In each subplot, the read line is a non-weighted mean of all states.

Correlation between Omega and Prevalence

Sample period = March 1, 2020 through December 31, 2021

1. predictor = omega(t); response = daily prevalence(t)

Joining, by = "date"
Joining, by = "date"
Joining, by = "date"

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California, and mean across states, at varying lags

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2. predictor = AUC of omega over time; response = cumulative all infections over time

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3. predictor = AUC of omega; response = cumulative all infections

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5. map of same (correlation, by state)

To be made

Correlation between Mobility and Omega

R effective for all states

Cross Correlation among times series of R Effective

Correlation among times series of R Effective

Are pairwise state R_e correlation coefficients correlated with the distances between state centroids?